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Source channel @githubtrending · Post #14974 · Jul 19

#cplusplus ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4]. https://github.com/ikawrakow/ik_llama.cpp

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@CoinSonar · Post #244077 · 04/18/2026, 08:36 AM

#DOGE | Volume spike (USDT PAIR) 74 times the average volume 3.55M USDT traded in 1 min └Selling vol: 2.89M USDT 🔴 Boost score: 1/10 24h Vol: 68.31M USDT (Binance) Price: 0.09710 (-5.0% in 24h)

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@CoinSonar · Post #243652 · 04/17/2026, 01:02 PM

#DOGE | Volume spike (USDT PAIR) 9 times the average volume 6.88M USDT traded in 15 min └Buying vol: 4.67M USDT 🟢 Boost score: 3/10 24h Vol: 68.31M USDT (Binance) Price: 0.10059 (-5.0% in 24h)

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@CoinSonar · Post #243325 · 04/16/2026, 09:18 PM

#DOGE | Volume spike (USDT PAIR) 70 times the average volume 3.33M USDT traded in 1 min └Buying vol: 3.07M USDT 🟢 Boost score: 6/10 24h Vol: 68.31M USDT (Binance) Price: 0.09911 (-5.0% in 24h)

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